Library Concept And Design For Lidar Data Processing

  • David N
  • Mallet C
  • Bretar F
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Abstract

Airborne Laser Scanning (ALS) is nowadays a very popular technology
providing accurate altimetric data for remote sensing and

mapping purposes. Therefore, many algorithms have been developed so
far to process these data, depending on the application.

Nevertheless, for researchers, it is still a challenging task to handle
large amount of heterogeneous data and adapt them for their specific

aim and processes. This paper reports the thoughts and the strategy
developed by the MATIS laboratory of the Institut G�eographique

National (IGN) about an efficient lidar library design in order to
tackle these issues. The specification of an efficient and versatile

lidar file format is first discussed. The standard and current lidar
file formats are first reviewed and a new one, dedicated to raw data

processing with high feature modularity is presented. Besides, existing
code components and libraries are reviewed with regard to

their compatibility for research development. Modularity, availability
and license conditions are here the main selection criteria. Then,

differents strategies for large data set handling are summarized and
extended by a new solution, both based on lidar strip and raw sensor

topology. These workflows are illustrated through a UML activity diagram
dedicated to 2D spatial query. Finally, the current status of

the implementation of this federative software as well as the perspectives
of development are sketched.

Author-supplied keywords

  • 3D Point Cloud
  • Data Management
  • Lidar
  • Processing

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Authors

  • N David

  • C Mallet

  • F Bretar

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